# aladdinpersson/Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

Repository: https://github.com/aladdinpersson/Machine-Learning-Collection
Canonical: https://ross.abutalabs.com/products/machine-learning-collection
Homepage: https://www.youtube.com/c/AladdinPersson
Language: Python
License: MIT
License Family: permissive
Topics: pytorch, pytorch-implementation, pytorch-tutorial, pytorch-gan, pytorch-examples, tensorflow2, tensorflow-tutorials, tensorflow-examples, machine-learning, machine-learning-algorithms, pytorch-tutorials
Last push: 2024-08-17T12:31:20+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2351, "days_push": 746, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8488, forks 2784 (observed 2026-08-28T04:10:23.104084+00:00)

## What it is
A collection of tutorials and example implementations for machine learning and deep learning in Python, covering algorithms from scratch, PyTorch, and TensorFlow. It pairs code with YouTube video walkthroughs and is intended as a learning resource and reference lookup.

## Use cases
- learn pytorch with example code
- implement machine learning algorithms from scratch
- understand GANs with a tutorial
- see CNN architecture implementations like ResNet
- learn tensorflow 2 basics
- find reference code for k-means or KNN
- get started with pytorch lightning

## When to choose
- you want clear, minimal example code to learn ML/DL concepts
- you prefer video walkthroughs alongside code
- you need a reference implementation of a classic algorithm or architecture

## When to avoid
- you need production-ready, maintained ML libraries
- you want comprehensive documentation or guaranteed updates
- you need advanced or state-of-the-art model training pipelines

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, deep-learning, tutorials, data-science
- platform: python
- tags: pytorch, tensorflow, tutorials, example-code, youtube-videos, neural-networks, gan, computer-vision

## Member repositories
- aladdinpersson/Machine-Learning-Collection (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:23.104084+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:26:49.822231+00:00, confidence not recorded.
  - readme: https://github.com/aladdinpersson/Machine-Learning-Collection (fetched 2026-08-28T04:10:23.104084+00:00, sha 81afb6633fcb)
  - homepage: https://www.youtube.com/c/AladdinPersson (fetched 2026-08-29T08:26:53.028289+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.